Florian Eggenhofer

911 total citations
17 papers, 345 citations indexed

About

Florian Eggenhofer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Florian Eggenhofer has authored 17 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Florian Eggenhofer's work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (9 papers) and Genomics and Phylogenetic Studies (8 papers). Florian Eggenhofer is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (9 papers) and Genomics and Phylogenetic Studies (8 papers). Florian Eggenhofer collaborates with scholars based in Germany, Austria and Australia. Florian Eggenhofer's co-authors include Ivo L. Hofacker, Peter F. Stadler, Hakim Tafer, Rolf Backofen, Christian Höner zu Siederdissen, Fabian Amman, Rick Gelhausen, Cynthia M. Sharma, Sarah L. Svensson and Omer S. Alkhnbashi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Florian Eggenhofer

16 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Eggenhofer Germany 11 313 81 75 35 23 17 345
Samuel Miravet‐Verde Spain 10 220 0.7× 53 0.7× 77 1.0× 20 0.6× 17 0.7× 16 303
Daijiro Takeshita Japan 10 320 1.0× 68 0.8× 76 1.0× 25 0.7× 51 2.2× 22 381
Nikolay A. Aleksashin United States 8 343 1.1× 60 0.7× 21 0.3× 42 1.2× 19 0.8× 10 393
Zhiyun Ge United States 8 285 0.9× 65 0.8× 28 0.4× 28 0.8× 19 0.8× 9 332
Kei Kitahara Japan 9 270 0.9× 54 0.7× 49 0.7× 9 0.3× 24 1.0× 14 318
Meng‐Ze Du China 7 208 0.7× 28 0.3× 40 0.5× 81 2.3× 33 1.4× 16 276
Louise Kime United Kingdom 10 322 1.0× 181 2.2× 106 1.4× 10 0.3× 11 0.5× 12 378
M. V. Savkina United States 6 358 1.1× 97 1.2× 50 0.7× 11 0.3× 10 0.4× 10 412
Aijia Wen China 11 250 0.8× 126 1.6× 72 1.0× 42 1.2× 36 1.6× 18 326
Virginia Castilla‐Llorente Spain 8 178 0.6× 99 1.2× 99 1.3× 29 0.8× 13 0.6× 11 213

Countries citing papers authored by Florian Eggenhofer

Since Specialization
Citations

This map shows the geographic impact of Florian Eggenhofer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Florian Eggenhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Eggenhofer more than expected).

Fields of papers citing papers by Florian Eggenhofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian Eggenhofer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Florian Eggenhofer. The network helps show where Florian Eggenhofer may publish in the future.

Co-authorship network of co-authors of Florian Eggenhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Eggenhofer. A scholar is included among the top collaborators of Florian Eggenhofer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Eggenhofer. Florian Eggenhofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Svensson, Sarah L., Rick Gelhausen, Martin Kucklick, et al.. (2025). Complementary Ribo-seq approaches map the translatome and provide a small protein census in the foodborne pathogen Campylobacter jejuni. Nature Communications. 16(1). 3078–3078. 3 indexed citations
2.
3.
Bartel, Jürgen, Lisa‐Katharina Maier, Sandra Maaß, et al.. (2023). Revealing the small proteome ofHaloferax volcaniiby combining ribosome profiling and small-protein optimized mass spectrometry. PubMed. 4. uqad001–uqad001. 16 indexed citations
4.
Hummel, Barbara, Florian Eggenhofer, Maria‐Eleni Lalioti, et al.. (2022). The long noncoding RNA mimi scaffolds neuronal granules to maintain nervous system maturity. Science Advances. 8(39). eabo5578–eabo5578. 10 indexed citations
5.
Gelhausen, Rick, Teresa Müller, Sarah L. Svensson, et al.. (2021). RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria. Briefings in Bioinformatics. 23(2). 15 indexed citations
6.
Alkhnbashi, Omer S., Martin Raden, Tran Van Dinh, et al.. (2021). CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems. Nucleic Acids Research. 49(W1). W125–W130. 23 indexed citations
7.
Uhl, Michaël, et al.. (2021). Peakhood: individual site context extraction for CLIP-seq peak regions. Bioinformatics. 38(4). 1139–1140. 1 indexed citations
8.
Gelhausen, Rick, Sarah L. Svensson, Florian Heyl, et al.. (2020). HRIBO: high-throughput analysis of bacterial ribosome profiling data. Bioinformatics. 37(14). 2061–2063. 13 indexed citations
9.
Venturini, Elisa, Sarah L. Svensson, Sandra Maaß, et al.. (2020). A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence. PubMed. 1(1). uqaa002–uqaa002. 35 indexed citations
10.
Fallmann, Jörg, Pavankumar Videm, Andrea Bagnacani, et al.. (2019). The RNA workbench 2.0: next generation RNA data analysis. Nucleic Acids Research. 47(W1). W511–W515. 12 indexed citations
11.
Eggenhofer, Florian, Rick Gelhausen, Björn Grüning, et al.. (2019). uORF-Tools—Workflow for the determination of translation-regulatory upstream open reading frames. PLoS ONE. 14(9). e0222459–e0222459. 6 indexed citations
12.
Eggenhofer, Florian, Ivo L. Hofacker, Rolf Backofen, & Christian Höner zu Siederdissen. (2018). CMV: visualization for RNA and protein family models and their comparisons. Bioinformatics. 34(15). 2676–2678. 4 indexed citations
13.
Grüning, Björn, Jörg Fallmann, Dilmurat Yusuf, et al.. (2017). The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy. Nucleic Acids Research. 45(W1). W560–W566. 29 indexed citations
14.
Eggenhofer, Florian, Ivo L. Hofacker, & Christian Höner zu Siederdissen. (2016). RNAlien – Unsupervised RNA family model construction. Nucleic Acids Research. 44(17). 8433–8441. 22 indexed citations
15.
Eggenhofer, Florian, Ivo L. Hofacker, & Christian Höner zu Siederdissen. (2013). CMCompare webserver: comparing RNA families via covariance models. Nucleic Acids Research. 41(W1). W499–W503. 8 indexed citations
16.
Eggenhofer, Florian, Hakim Tafer, Peter F. Stadler, & Ivo L. Hofacker. (2011). RNApredator: fast accessibility-based prediction of sRNA targets. Nucleic Acids Research. 39(suppl_2). W149–W154. 105 indexed citations
17.
Tafer, Hakim, Fabian Amman, Florian Eggenhofer, Peter F. Stadler, & Ivo L. Hofacker. (2011). Fast accessibility-based prediction of RNA–RNA interactions. Bioinformatics. 27(14). 1934–1940. 43 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026